rs117672662

This is a regulatory region variant variant in the ACTN1 gene.

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GWAS Catalog Trait Associations (6)

Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.

platelet count

Jee YH et al. “Genome-wide association studies in a large Korean cohort identify quantitative trait loci for 36 traits and illuminate their genetic architectures.” Nature Communications 16(1):4935 (2025)
Allele T
OR 0.64
p 6.0e-94
N 928,679
Large GWAS
multi-ancestry
Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele T
OR 0.39
p 2.0e-46
N 499,097
Large GWAS
multi-ancestry
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele T
OR 0.34
p 3.0e-36
N 408,112
Large GWAS
European
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele T
OR 0.34
p 6.0e-60
N 394,642
Large GWAS
European
Little A et al. “Whole genome sequence analysis of platelet traits in the NHLBI Trans-Omics for Precision Medicine (TOPMed) initiative.” Human Molecular Genetics 31(3):347-361 (2022)
Allele T
OR 20.99
p 2.0e-30
N 61,200
Large GWAS
multi-ancestry
Verma A et al. “Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program.” Science (new York, N.y.) 385(6706):eadj1182 (2024)
Allele T
OR 0.24
p 2.0e-61
N 55,712
Major Consortium StudyLarge GWAS
Hispanic or Latin American
Hu Y et al. “Multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the Population Architecture using Genomics and Epidemiology (PAGE) study.” Bmc Genomics 22(1):432 (2021)
Allele T
OR 0.31
p 8.0e-45
N 27,236
Large GWAS
European
Schick UM et al. “Genome-wide Association Study of Platelet Count Identifies Ancestry-Specific Loci in Hispanic/Latino Americans.” American Journal of Human Genetics 98(2):229-42 (2016)
Allele T
OR 0.60
p 1.0e-28
N 12,491
Large GWAS
Hispanic or Latin American
Chen MH et al. “Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations.” Cell 182(5):1198-1213.e14 (2020)
Allele T
OR 0.32
p 1.0e-18
N 9,367
Large GWAS
Hispanic or Latin American

platelet component distribution width

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele C
OR 0.27
p 3.0e-39
N 394,642
Large GWAS
European
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele C
OR 0.28
p 6.0e-25
N 408,112
Large GWAS
European
Astle WJ et al. “The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.” Cell 167(5):1415-1429.e19 (2016)
Allele C
OR 0.33
p 1.0e-16
N 164,433
Large GWAS
European

platelet crit

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele C
OR 0.16
p 3.0e-14
N 394,642
Large GWAS
European
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele C
OR 0.18
p 5.0e-11
N 408,112
Large GWAS
European

immature platelet measurement

Akbari P et al. “A genome-wide association study of blood cell morphology identifies cellular proteins implicated in disease aetiology.” Nature Communications 14(1):5023 (2023)
Allele C
OR 0.46
p 3.0e-9
N 36,829
Large GWAS
European

platelet quantity

Akbari P et al. “A genome-wide association study of blood cell morphology identifies cellular proteins implicated in disease aetiology.” Nature Communications 14(1):5023 (2023)
Allele C
OR 0.45
p 4.0e-9
N 36,615
Large GWAS
European

platelet volume

Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele T
OR 0.41
p 3.0e-51
N 408,112
Large GWAS
European
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele T
OR 0.41
p 2.0e-101
N 394,642
Large GWAS
European
Astle WJ et al. “The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.” Cell 167(5):1415-1429.e19 (2016)
Allele T
OR 0.44
p 2.0e-27
N 164,454
Large GWAS
European
Verma A et al. “Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program.” Science (new York, N.y.) 385(6706):eadj1182 (2024)
Allele T
OR 0.41
p 1.0e-115
N 40,412
Major Consortium StudyLarge GWAS
Hispanic or Latin American
Hu Y et al. “Multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the Population Architecture using Genomics and Epidemiology (PAGE) study.” Bmc Genomics 22(1):432 (2021)
Allele T
OR 0.47
p 5.0e-23
N 21,347
Large GWAS
Hispanic or Latin American
Chen MH et al. “Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations.” Cell 182(5):1198-1213.e14 (2020)
Allele T
OR 0.51
p 3.0e-10
N 2,810
Large GWAS
Hispanic or Latin American

About ACTN1

Alpha actinins belong to the spectrin gene superfamily which represents a diverse group of cytoskeletal proteins, including the alpha and beta spectrins and dystrophins. Alpha actinin is an actin-binding protein with multiple roles in different cell types. In nonmuscle cells, the cytoskeletal isoform is found along microfilament bundles and adherens-type junctions, where it is involved in binding actin to the membrane. In contrast, skeletal, cardiac, and smooth muscle isoforms are localized to the Z-disc and analogous dense bodies, where they help anchor the myofibrillar actin filaments. This gene encodes a nonmuscle, cytoskeletal, alpha actinin isoform and maps to the same site as the structurally similar erythroid beta spectrin gene. Three transcript variants encoding different isoforms have been found for this gene. [provided by RefSeq, Jul 2008]

View all ACTN1 variants →

Gene information from NCBI Gene. Variant classifications from ClinVar.

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